Project Data Scientist

Location
Work from home in Ireland.
Eligibility to work

Unfortunately we cannot offer Irish work permits or Visa sponsorship.
About this Role

As a Project Data Scientist in Research Pathology at Deciphex , you will prepare, characterise, and validate the datasets and model outputs that drive our research pathology AI across toxicologic pathology and translational research. Working at the interface of histopathology, computational pathology, and data science, you will turn whole-slide images and structured study data into curated, statistically characterised datasets and qualified analytical outputs. This will include control-dataset characterisation, confounder and batch-effect detection, data-quality assessment, and validation of downstream AI models.

You will support the evaluation of pathology AI models and downstream applications such as anomaly detection, lesion identification, segmentation, and whole-slide classification. This will include contributing to practice-relevant benchmarks, characterising model performance and failure modes, identifying confounders and batch effects, and applying clinically and operationally meaningful measures of performance.

You will work alongside pathologists, the AI team, software and product teams, contributing to validation strategy and ensuring that datasets and analytical outputs meet the evidentiary and regulatory expectations of preclinical and translational research.

A major focus of the role will be supporting Deciphex ’s delivery within two EU-funded public-private partnerships: BIGPICTURE (IMI) and VICT3R (IHI). You will contribute to shared data models, metadata standards, dataset onboarding, control-data analysis, and interoperability between Deciphex platforms and consortium infrastructure. Working across internal teams and external partner organisations, you will help resolve data and transfer issues and ensure that project outputs meet agreed standards for quality, traceability, and responsible data handling.
Key Responsibilities

- Support Deciphex ’s technical and scientific delivery across BIGPICTURE and VICT3R, working with internal teams and consortium partners to deliver agreed data-science activities

- Curate, characterise, and analyse large preclinical and translational pathology datasets, including whole-slide images, structured study data, annotations, and associated metadata

- Contribute to the VICT3R data model for whole-slide imaging, including metadata schemas, annotation standards, controlled terminology, and linkage to SEND domains

- Characterise control datasets through descriptive and statistical analysis, including trend assessment and detection of confounders and batch effects relevant to Virtual Control Group development

- Support interoperability between Patholytix and BIGPICTURE infrastructure by contributing to data mappings, requirements, specifications, and gateway testing

- Develop and maintain reproducible data-processing pipelines, quality-control routines, and validation workflows supporting dataset curation, model evaluation, benchmarking, and project delivery

- Support the evaluation of downstream pathology AI models through performance characterisation, failure analysis, and clear evidence packages

- Support the onboarding of non-clinical whole-slide images and metadata from consortium contributors, including data preparation, validation, transfer, and troubleshooting

- Produce technical analyses, documentation, data deliverables, and progress reporting in accordance with agreed consortium milestones

- Work with pathologists, AI, software, product, and project teams to translate scientific and operational requirements into reliable datasets and analytical outputs grounded in appropriate pathology context

- Apply appropriate data-quality, traceability, GDPR, and GLP-aligned handling practices across consortium submissions and analytical outputs

Required Skills and Experience

- Advanced degree in data science, bioinform